Theta Tech designs agentic systems: AI entities capable of independent reasoning, tool use, and adaptive decision-making. These are not chatbots; they are operational intelligences.

Each agent operates within a governed architecture, aware of its capabilities, goals, and constraints. Our work ensures stability, transparency, and extensibility in multi-agent ecosystems.

Understanding the Concept

Agents are autonomous decision-making programs equipped with tools they can invoke as needed. They reason, plan, and refine their own output. Some call sub-agents to complete subtasks, forming distributed cognitive hierarchies. These tools can be directly integrated into the agent or advertised through an MCP server—a digital bulletin board that lists available functions, inputs, and outputs.  

In practice, this allows AI systems to orchestrate actions, delegate reasoning, and solve complex workflows dynamically.

Theta Tech builds agentic frameworks that behave coherently under complexity. We architect hierarchies of intelligence that operate predictably, communicate clearly, and adapt continuously.

Why This Matters

Intelligent Autonomy, Engineered with Precision

Typical AI systems end at the sentence. Agents go beyond it. They perceive, decide, and act across digital systems. Without structure, such autonomy devolves into chaos.

Theta Tech provides that structure, building intelligent, reliable architectures where every decision is explainable and every behavior intentional.

Technical Capabilities

Sub-Services
  • Hierarchical Reasoning:
    Parent agents spawning specialized sub-agents for parallel problem solving.
  • Tool Invocation Architecture:
    Secure toolsets exposed through controlled APIs or MCP servers.
  • Cognitive Memory Management:
    Context persistence across sessions and hierarchies.
  • Self-Evaluation and Iteration:
    Agents capable of verifying, critiquing, and refining their own reasoning.
  • Scalable Orchestration:
    Multi-agent frameworks integrated with broader infrastructure and data flows.

The Result

An ecosystem of reasoning entities: collaborative, interpretable, and capable of autonomous operation within defined constraints.

Agents that think like systems, not scripts.

True autonomy is not chaos; it is intelligence under structure.

All Services
Case Studies

Real-World Impact

Explore our successful AI case studies.
Algorithm for Collaboration & Distribution
Updating disparate and unorganized AI algorithm code into cohesive and easily sharable notebooks.
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Clinical UI Design for Radiology AI
Creating intuitive software interfaces that empower doctors and accelerate AI innovation
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Developing 3D Radiology AI Solutions
Moving University Client to the Cloud with Open Source Medical AI Models
Read More
Publications

Explore Our Work

See our 35+ Peer-Reviewed Publications & Patents.
Improved Active Shape Models for Segmentation of the Prostate on MR Imagery
Toth, R. “Improved Active Shape Models for Segmentation of the Prostate on MR Imagery,” M.S. Thesis, Rutgers University, 2010.
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
Litjens, G., Toth, R., van de Ven, W., Hoeks, C., Kerkstra, S., van Ginneken, B., Vincent, G., Guillard, G., Birbeck, N., Zhang, J., Strand, R., Malmberg, F., Ou, Y., Davatzikos, C., Kirschner, M., Jung, F., Yuan, J., Qiu, W., Gao, Q., Edwards, P.E., Maan, B., van der Heijden, F., Ghose, S., Mitra, J., Dowling, J., Barratt, D., Huisman, H., Madabhushi, A. “Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge.” Medical Image Analysis 25:18(2), Dec 2013 pp. 359-373. doi: 10.1016/j.media.2013.12.002
HistostitcherTM: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework
Toth, R.J., Shih, N., Tomaszewski, J.E., Feldman, M.D., Kutter, O., Yu, D.N., Paulus, J.C., Paladini, G., Madabhushi, A., “HistostitcherTM: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework.” Journal of Pathology Informatics 5(8), Mar 2014. doi: 10.4103/2153-3539.129441
A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI
Toth, R., Traughber, B., Ellis, R., Kurhanewicz, J., Madabhushi, A., “A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI.” Neurocomputing 144(20) Nov 2014. pp. 3-12 doi: 10.1016/j.neucom.2014.01.058
"Theta Tech AI is an exciting medical AI consulting company whom we’ve worked with for over a decade.

Their team of experienced healthcare AI developers and PhD level biomedical engineers have helped us accelerate our clinical AI research implementation efforts.

Their team is hardworking and extremely responsive.
If you’re in the healthcare technology space, you’d be remiss to not work with Theta Tech." 
Professor Anant Madabhushi
Executive Director for the Emory Empathetic AI for Health Institute
"Theta Tech AI brings together biomedical engineers and medical imaging experts who deeply understand both AI and clinical practice.

For anyone working in healthcare AI—especially at a leading university or tech company—they are a fantastic team to collaborate with."
Assistant Professor Andrew Janowczyk
Emory University
"Theta Tech AI is an outstanding team of biomedical engineers and medical imaging software experts, who can provide you with specialized healthcare AI solutions that will ensure successful ventures in this space."
Satish E. Viswanath, PhD
Associate Professor, Department of Biomedical Engineering
"Theta Tech AI is a highly competent healthcare AI consulting company that has deep expertise spanning machine learning, data science, medical data, image analysis, comprising of a great team of biomedical engineers."
Mike Galvin
Co-Founder & Chairman of LivAI

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